28 citations · 77 across the 23 of their papers we have counts for
3 papers · 1 filter
Composite-Gradient Learning for Shared Control Authority Between Deep Reinforcement Learning and Model Predictive Control
Giray Önür, Azita Dabiri, Bart De Schutter
Integrated deep reinforcement learning (DRL) and model predictive control (MPC) methods are increasingly used to control autonomous systems by combining their complementary capabil…
Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning
Giray Önür, Azita Dabiri, Bart De Schutter
Effective traffic control is essential for mitigating congestion in transportation networks. Conventional traffic management strategies, including route guidance and ramp metering,…
Nonmyopic Global Optimisation via Approximate Dynamic Programming
Filippo Airaldi, Bart De Schutter, Azita Dabiri
Global optimisation to optimise expensive-to-evaluate black-box functions without gradient information. Bayesian optimisation, one of the most well-known techniques, typically empl…